DocumentCode :
1925304
Title :
Visual data mining over a video wall
Author :
Rivera, Laura P R ; Vergara, Sergio V Chapa ; Viveros, Amilcar Meneses
Author_Institution :
Comput. Sci. Dept., CINVESTAV-IPN, Mexico City, Mexico
fYear :
2012
fDate :
27-29 Feb. 2012
Firstpage :
239
Lastpage :
244
Abstract :
This paper explains how it was implemented a method of visual data mining deals to maximize the advantages provided by the use of a distributed object over a video wall, to facilitate the assessment of large amounts of data. It is seeking an alternative to the growing problem of having information and wanting to learn something from it so that they can minimize the costs in time and covers transportation, processing and visualization. That´s why we have selected the fundamental techniques in the process of mining as the coefficient of Pearson, and part of the management of distributed object has opted to use the advantages of the Mac platform. The main objective of this project is to create a system that allows for a friendly display large amounts of data.
Keywords :
computer displays; data mining; data visualisation; distributed processing; Mac platform; Pearson coefficient; data display; distributed object; video wall; visual data mining method; Correlation; Data mining; Data visualization; Databases; Servers; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Communications and Computers (CONIELECOMP), 2012 22nd International Conference on
Conference_Location :
Cholula, Puebla
Print_ISBN :
978-1-4577-1326-2
Type :
conf
DOI :
10.1109/CONIELECOMP.2012.6189916
Filename :
6189916
Link To Document :
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